QoS Ranking Prediction for Cloud Brokerage Services
G.Dinesh 1 , K.Pugazh Mathi2
Section:Research Paper, Product Type: Journal Paper
Volume-4 ,
Issue-4 , Page no. 244-251, Apr-2016
Online published on Apr 27, 2016
Copyright © G.Dinesh, K.Pugazh Mathi . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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How to Cite this Paper
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IEEE Style Citation: G.Dinesh, K.Pugazh Mathi, “QoS Ranking Prediction for Cloud Brokerage Services,” International Journal of Computer Sciences and Engineering, Vol.4, Issue.4, pp.244-251, 2016.
MLA Style Citation: G.Dinesh, K.Pugazh Mathi "QoS Ranking Prediction for Cloud Brokerage Services." International Journal of Computer Sciences and Engineering 4.4 (2016): 244-251.
APA Style Citation: G.Dinesh, K.Pugazh Mathi, (2016). QoS Ranking Prediction for Cloud Brokerage Services. International Journal of Computer Sciences and Engineering, 4(4), 244-251.
BibTex Style Citation:
@article{Mathi_2016,
author = {G.Dinesh, K.Pugazh Mathi},
title = {QoS Ranking Prediction for Cloud Brokerage Services},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2016},
volume = {4},
Issue = {4},
month = {4},
year = {2016},
issn = {2347-2693},
pages = {244-251},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=928},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=928
TI - QoS Ranking Prediction for Cloud Brokerage Services
T2 - International Journal of Computer Sciences and Engineering
AU - G.Dinesh, K.Pugazh Mathi
PY - 2016
DA - 2016/04/27
PB - IJCSE, Indore, INDIA
SP - 244-251
IS - 4
VL - 4
SN - 2347-2693
ER -
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Abstract
With the development of Cloud Computing, more also, more companies are advertising diverse cloud services. From the customer’s point of view, it is continuously troublesome to choose whose administrations they should use, based on users’ requirements. Currently there is no programming system which can automatically File cloud suppliers based on their needs. In this work, we propose a system also, a mechanism, which measure the quality also, prioritize Cloud services. Such system can make significant sway also, will create healthy competition among Cloud suppliers to fulfill their Administration Level Understanding (SLA) also, improve their Quality of Service (QoS).
Key-Words / Index Term
Cloud Computing, Administration Measurement, Quality of Service
References
[1] W. Wang, D. Niu, B. Li, and B. Liang, “Dynamic cloud resource reservation via cloud brokerage,” in Proc. IEEE 33rd Int. Conf. Distrib. Comput. Syst., 2013, pp. 400–409.
[2] M. Armbrust, A. Fox, R. Griffith, A. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, A. Rabkin, I. Stoica, and M. Zaharia, “A view of cloud computing,” Commun. ACM, vol. 53, pp. 50–58, 2010.
[3] W. Wang, B. Li, and B. Liang, “To reserve or not to reserve: Optimal online multi-instance acquisition in IaaS clouds,” in Proc. USENIX Int. Conf. Auton. Comput., 2010, pp. 13–22.
[4] Shivlal Mewada, Umesh Kumar Singh and Pradeep Sharma, "Security Enhancement in Cloud Computing (CC)", ISROSET-International Journal of Scientific Research in Computer Science and Engineering, Vol.-01, Issue-01, pp (31-37), Jan -Feb 2013
[5] N. Chohan, C. Castillo, M. Spreitzer, M. Steinder, A. Tantawi, and C. Krintz, “See spot run: Using spot instances for MapReduce workflows,” in Proc. Conf. Hot Topics Cloud Comput., 2010, p. 7.
[6] E. Roth, Ed., The Shapley Value, Essays in Honor of Lloyd S. Shapley. Cambridge, U.K.: Cambridge Univ. Press, 1988.
[7] N. Nisan, T. Roughgarden, E. Tardos, and V. V. Vazirani, Algorithmic Game Theory, Cambridge, U.K.: Cambridge Univ. Press, 2007.